Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Discrete sequential information coding: Heteroclinic cognitive dynamics
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Frontiers Media S.A.Date
2018-09-07Citation
10.3389/fncom.2018.00073
Frontiers in Computational Neuroscience 12 (2018): Article 73
ISSN
1662-5188DOI
10.3389/fncom.2018.00073Funded by
Research supported by NSF grant number CCF-1640227, ONR grants N00014310205, and N00014-13-1-0678 (MR) and MINECO/FEDER DPI2015-65833-P (http://www.mineco.gob. es) and ONRG grant N62909-14-1-N279 (PV)Project
Gobierno de España. DPI2015-65833-PEditor's Version
https://doi.org/10.3389/fncom.2018.00073Subjects
Control of episodic memory retrieval; Heteroclinic binding; Hierarchical cognitive networks; Information patterns; Metastable state brain dynamics; InformáticaRights
© 2018 Rabinovich and VaronaAbstract
Discrete sequential information coding is a key mechanism that transforms complex cognitive brain activity into a low-dimensional dynamical process based on the sequential switching among finite numbers of patterns. The storage size of the corresponding process is large because of the permutation capacity as a function of control signals in ensembles of these patterns. Extracting low-dimensional functional dynamics from multiple large-scale neural populations is a central problem both in neuro-and cognitive-sciences. Experimental results in the last decade represent a solid base for the creation of low-dimensional models of different cognitive functions and allow moving toward a dynamical theory of consciousness. We discuss here a methodology to build simple kinetic equations that can be the mathematical skeleton of this theory. Models of the corresponding discrete information processing can be designed using the following dynamical principles: (i) clusterization of the neural activity in space and time and formation of information patterns; (ii) robustness of the sequential dynamics based on heteroclinic chains of metastable clusters; and (iii) sensitivity of such sequential dynamics to intrinsic and external informational signals. We analyze sequential discrete coding based on winnerless competition low-frequency dynamics. Under such dynamics, entrainment, and heteroclinic coordination leads to a large variety of coding regimes that are invariant in time.
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Google Scholar:Rabinovich, Mikhail I.
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Varona Martínez, Pablo
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